This notebook contains a set of analyses for analyzing rahdo boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
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We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine a predictive model trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
rahdo | training | published before 2020 | 1,206 | 303 |
rahdo | validation | published 2020 | 101 | 37 |
rahdo | test | published after 2020 | 97 | 48 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features.
We can examine coefficients from the model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | In_Collection | All_Games | Ratio |
rahdo | Mechanism Tableau Building | 7.7% | 0.5% | 16.87 |
rahdo | Artist Klemens Franz | 5.3% | 0.4% | 11.87 |
rahdo | Renegade Game Studios | 3.2% | 0.4% | 9.04 |
rahdo | Stronghold Games | 4.5% | 0.6% | 7.04 |
rahdo | Days Of Wonder | 1.4% | 0.2% | 6.75 |
rahdo | Worker Placement | 18.9% | 3.2% | 5.98 |
rahdo | City Building | 12.5% | 2.2% | 5.75 |
rahdo | ZMan Games | 7.5% | 1.9% | 3.93 |
rahdo | Pegasus Spiele | 10.0% | 2.8% | 3.55 |
rahdo | Rio Grande Games | 8.9% | 2.6% | 3.36 |
rahdo | Economic | 21.6% | 7.1% | 3.05 |
rahdo | Tile Placement | 20.6% | 8.3% | 2.48 |
rahdo | Set Collection | 32.0% | 13.9% | 2.30 |
rahdo | Cooperative Game | 14.8% | 6.7% | 2.22 |
rahdo | Asmodee | 7.7% | 3.7% | 2.06 |
rahdo | Fantasy Flight Games | 3.0% | 1.9% | 1.53 |
rahdo | Take That | 4.2% | 6.1% | 0.70 |
rahdo | Miniatures Game | 2.8% | 5.5% | 0.51 |
rahdo | Abstract Strategy | 3.2% | 7.0% | 0.46 |
rahdo | Negotiation | 1.1% | 3.7% | 0.29 |
rahdo | Movies TV Radio Theme | 1.2% | 4.9% | 0.24 |
rahdo | Solitaire Only Games | 0.3% | 1.6% | 0.21 |
rahdo | Roll Spin And Move | 0.8% | 6.2% | 0.13 |
rahdo | Childrens Game | 0.4% | 7.1% | 0.06 |
rahdo | Wargame | 0.7% | 16.8% | 0.04 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can display this information in table form, displaying the 100 games with the highest probability of ownership, adding a blue line when the user does own the game.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2013 | 136888 | Bruges | 0.998 | yes |
2 | 2011 | 84876 | The Castles of Burgundy | 0.998 | yes |
3 | 2010 | 70512 | Luna | 0.997 | yes |
4 | 2018 | 244711 | Newton | 0.997 | yes |
5 | 2018 | 244049 | Forum Trajanum | 0.996 | yes |
6 | 2013 | 143693 | Glass Road | 0.995 | yes |
7 | 2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.995 | no |
8 | 2011 | 70149 | Ora et Labora | 0.995 | yes |
9 | 2013 | 140620 | Lewis & Clark: The Expedition | 0.993 | yes |
10 | 2016 | 191977 | The Castles of Burgundy: The Card Game | 0.993 | yes |
11 | 2016 | 167791 | Terraforming Mars | 0.993 | yes |
12 | 2014 | 148228 | Splendor | 0.992 | yes |
13 | 2017 | 232988 | The Castles of Burgundy: The Dice Game | 0.992 | yes |
14 | 2016 | 177736 | A Feast for Odin | 0.992 | yes |
15 | 2018 | 199792 | Everdell | 0.991 | no |
16 | 2017 | 230933 | Merlin | 0.990 | yes |
17 | 2016 | 200680 | Agricola (Revised Edition) | 0.989 | no |
18 | 2017 | 234487 | Altiplano | 0.988 | yes |
19 | 2007 | 25554 | Notre Dame | 0.988 | yes |
20 | 2007 | 31260 | Agricola | 0.988 | yes |
21 | 2010 | 66505 | The Speicherstadt | 0.986 | yes |
22 | 2015 | 175878 | 504 | 0.986 | yes |
23 | 2011 | 102680 | Trajan | 0.983 | yes |
24 | 2011 | 91873 | Strasbourg | 0.981 | yes |
25 | 2014 | 159508 | AquaSphere | 0.980 | yes |
26 | 2018 | 245934 | Carpe Diem | 0.979 | yes |
27 | 2016 | 193739 | Jórvík | 0.979 | yes |
28 | 2010 | 66362 | Glen More | 0.978 | yes |
29 | 2018 | 241831 | Reykholt | 0.978 | yes |
30 | 2013 | 137408 | Amerigo | 0.978 | yes |
31 | 2016 | 193558 | The Oracle of Delphi | 0.977 | yes |
32 | 2019 | 270970 | Century: A New World | 0.976 | no |
33 | 2012 | 123260 | Suburbia | 0.973 | yes |
34 | 2019 | 283863 | The Magnificent | 0.968 | yes |
35 | 2014 | 159675 | Fields of Arle | 0.967 | yes |
36 | 2014 | 157809 | Nations: The Dice Game | 0.966 | yes |
37 | 2009 | 55670 | Macao | 0.965 | yes |
38 | 2016 | 193738 | Great Western Trail | 0.964 | yes |
39 | 2019 | 286096 | Tapestry | 0.963 | yes |
40 | 2009 | 39683 | At the Gates of Loyang | 0.963 | yes |
41 | 2005 | 19857 | Glory to Rome | 0.961 | yes |
42 | 2018 | 214887 | CO₂: Second Chance | 0.961 | yes |
43 | 2017 | 201825 | Ex Libris | 0.959 | yes |
44 | 2016 | 192458 | 51st State: Master Set | 0.956 | no |
45 | 2008 | 35677 | Le Havre | 0.954 | yes |
46 | 2019 | 266810 | Paladins of the West Kingdom | 0.951 | yes |
47 | 2014 | 154203 | Imperial Settlers | 0.951 | yes |
48 | 2014 | 146886 | La Granja | 0.951 | yes |
49 | 2015 | 172386 | Mombasa | 0.950 | yes |
50 | 2018 | 247763 | Underwater Cities | 0.949 | yes |
51 | 2007 | 31594 | In the Year of the Dragon | 0.949 | yes |
52 | 2016 | 192945 | Coal Baron: The Great Card Game | 0.949 | yes |
53 | 2017 | 229220 | Santa Maria | 0.948 | yes |
54 | 2017 | 220520 | Caverna: Cave vs Cave | 0.948 | yes |
55 | 2017 | 162886 | Spirit Island | 0.948 | yes |
56 | 2014 | 154246 | La Isla | 0.947 | yes |
57 | 2019 | 265188 | Glen More II: Chronicles | 0.946 | yes |
58 | 2008 | 35488 | The Name of the Rose | 0.946 | yes |
59 | 2013 | 144344 | Rococo | 0.945 | yes |
60 | 2015 | 172385 | Porta Nigra | 0.944 | yes |
61 | 2007 | 28143 | Race for the Galaxy | 0.943 | yes |
62 | 2015 | 183394 | Viticulture Essential Edition | 0.941 | no |
63 | 2012 | 126163 | Tzolk'in: The Mayan Calendar | 0.938 | yes |
64 | 2009 | 40831 | The Pillars of the Earth: Builders Duel | 0.937 | yes |
65 | 2010 | 66193 | It Happens.. | 0.936 | yes |
66 | 2013 | 52461 | Legacy: The Testament of Duke de Crecy | 0.935 | yes |
67 | 2006 | 25613 | Through the Ages: A Story of Civilization | 0.935 | yes |
68 | 2017 | 233676 | Noria | 0.933 | yes |
69 | 2009 | 45315 | Dungeon Lords | 0.932 | yes |
70 | 2008 | 34635 | Stone Age | 0.932 | yes |
71 | 2009 | 40834 | Dominion: Intrigue | 0.931 | no |
72 | 2004 | 9216 | Goa | 0.929 | yes |
73 | 2013 | 127060 | Bora Bora | 0.927 | yes |
74 | 2016 | 182340 | Star Trek: Frontiers | 0.927 | yes |
75 | 2019 | 285774 | Marvel Champions: The Card Game | 0.926 | yes |
76 | 2014 | 157354 | Five Tribes | 0.926 | yes |
77 | 2014 | 132531 | Roll for the Galaxy | 0.925 | yes |
78 | 2017 | 161533 | Lisboa | 0.923 | no |
79 | 2010 | 73439 | Troyes | 0.922 | yes |
80 | 2005 | 16496 | Roma | 0.922 | yes |
81 | 2019 | 265260 | Revolution of 1828 | 0.922 | yes |
82 | 2008 | 38453 | Space Alert | 0.918 | yes |
83 | 2014 | 156009 | Port Royal | 0.916 | yes |
84 | 2013 | 143515 | Coal Baron | 0.916 | yes |
85 | 2014 | 164928 | Orléans | 0.913 | yes |
86 | 2019 | 272682 | Expedition to Newdale | 0.911 | yes |
87 | 2018 | 258444 | Gingerbread House | 0.910 | yes |
88 | 2009 | 56931 | Arena: Roma II | 0.909 | yes |
89 | 2018 | 256570 | Crown of Emara | 0.909 | yes |
90 | 2012 | 118048 | Targi | 0.909 | yes |
91 | 2017 | 233006 | Carthago: Merchants & Guilds | 0.907 | yes |
92 | 2011 | 101020 | PAX | 0.907 | yes |
93 | 2011 | 103185 | Walnut Grove | 0.906 | yes |
94 | 2019 | 253635 | Ragusa | 0.904 | yes |
95 | 2011 | 96007 | The New Era | 0.904 | no |
96 | 2011 | 96848 | Mage Knight Board Game | 0.904 | yes |
97 | 2014 | 148949 | Istanbul | 0.903 | yes |
98 | 2019 | 244099 | Herbaceous Sprouts | 0.902 | no |
99 | 2015 | 172381 | My Village | 0.902 | yes |
100 | 2015 | 182028 | Through the Ages: A New Story of Civilization | 0.902 | no |
We can also more formally assess how well the model did in resampling by looking at the area under the receiver operating characteristic. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think rahdo is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.995 | no |
2018 | 199792 | Everdell | 0.991 | no |
2016 | 200680 | Agricola (Revised Edition) | 0.989 | no |
2019 | 270970 | Century: A New World | 0.976 | no |
2016 | 192458 | 51st State: Master Set | 0.956 | no |
What games does the model think rahdo is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2013 | 139771 | Star Trek: Attack Wing | 0.001 | yes |
2011 | 93538 | Battleship Galaxies | 0.006 | yes |
1983 | 438 | Scotland Yard | 0.011 | yes |
2010 | 62871 | Zombie Dice | 0.012 | yes |
2002 | 5867 | 10 Days in Europe | 0.014 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Robinson Crusoe: Adventures on the Cursed Island | Bruges | Splendor | 504 | The Castles of Burgundy: The Card Game | The Castles of Burgundy: The Dice Game | Newton | Century: A New World |
2 | Suburbia | Glass Road | AquaSphere | Mombasa | Terraforming Mars | Merlin | Forum Trajanum | The Magnificent |
3 | Tzolk'in: The Mayan Calendar | Lewis & Clark: The Expedition | Fields of Arle | Porta Nigra | A Feast for Odin | Altiplano | Everdell | Tapestry |
4 | Targi | Amerigo | Nations: The Dice Game | Viticulture Essential Edition | Agricola (Revised Edition) | Ex Libris | Carpe Diem | Paladins of the West Kingdom |
5 | Terra Mystica | Rococo | Imperial Settlers | My Village | Jórvík | Santa Maria | Reykholt | Glen More II: Chronicles |
6 | Keyflower | Legacy: The Testament of Duke de Crecy | La Granja | Through the Ages: A New Story of Civilization | The Oracle of Delphi | Caverna: Cave vs Cave | CO₂: Second Chance | Marvel Champions: The Card Game |
7 | Ginkgopolis | Bora Bora | La Isla | Raiders of the North Sea | Great Western Trail | Spirit Island | Underwater Cities | Revolution of 1828 |
8 | The Palaces of Carrara | Coal Baron | Five Tribes | Discoveries: The Journals of Lewis & Clark | 51st State: Master Set | Noria | Gingerbread House | Expedition to Newdale |
9 | Yedo | Rialto | Roll for the Galaxy | Kraftwagen | Coal Baron: The Great Card Game | Lisboa | Crown of Emara | Ragusa |
10 | Snowdonia | Caverna: The Cave Farmers | Port Royal | Peloponnes Card Game | Star Trek: Frontiers | Carthago: Merchants & Guilds | Tales of the Northlands: The Sagas of Noggin the Nog | Herbaceous Sprouts |
11 | OddVille | Palmyra | Orléans | The Voyages of Marco Polo | Fields of Green | Dinosaur Island | Piepmatz | Nova Luna |
12 | Agricola: All Creatures Big and Small | Euphoria: Build a Better Dystopia | Istanbul | Oh My Goods! | Quadropolis | Calimala | Passing Through Petra | It's a Wonderful World |
13 | Escape: The Curse of the Temple | City of Remnants | Madame Ching | OctoDice | Lorenzo il Magnifico | Riverboat | Cosmic Run: Regeneration | Fantastic Factories |
14 | Milestones | Sail to India | Helios | Harbour | Covert | Gaia Project | Architects of the West Kingdom | Queenz: To Bee or Not to Bee |
15 | CO₂ | Brew Crafters | Roll Through the Ages: The Iron Age | The Bloody Inn | La Granja: No Siesta | Charterstone | Founders of Gloomhaven | The Ancient World (Second Edition) |
16 | Il Vecchio | Patchistory | Viceroy | Arboretum | Agricola: Family Edition | Wasteland Express Delivery Service | Yellow & Yangtze | Circadians: First Light |
17 | Eight-Minute Empire | Händler der Karibik | Artifacts, Inc. | 7 Wonders Duel | The Manhattan Project: Energy Empire | Wendake | Century: Eastern Wonders | Era: Medieval Age |
18 | Among the Stars | Asante | Greed | A Game of Gnomes | Explorers of the North Sea | Heaven & Ale | New Frontiers | Marco Polo II: In the Service of the Khan |
19 | City of Gears | Eight-Minute Empire: Legends | Kanban: Driver's Edition | Steam Time | The Colonists | Kitchen Rush | Pandemic: Fall of Rome | Barrage |
20 | Shadows over Camelot: The Card Game | The Witches: A Discworld Game | Onirim (Second Edition) | The Pursuit of Happiness | Citadels | Valletta | The Pirate Republic | Wingspan |
21 | Le Havre: The Inland Port | Bremerhaven | Subdivision | Automania | Guilds of London | Keyper | Coin & Crown | Town Builder: Coevorden |
22 | Dominare | Cinque Terre | San Juan (Second Edition) | Dale of Merchants | Dominion (Second Edition) | Pandemic: Rising Tide | Fleet: The Dice Game | Sierra West |
23 | Space Cadets | Pathfinder Adventure Card Game: Rise of the Runelords – Base Set | The Ancient World | Minerva | Tiny Epic Western | Montana | The River | Amul |
24 | A Fool's Fortune | Spyrium | Praetor | Elysium | Roll Player | Azul | Grasse | Atlantis Rising (Second Edition) |
25 | New Amsterdam | Canterbury | Johari | Grand Austria Hotel | Phalanxx | C.O.G. | Luxor | Masters of Renaissance: Lorenzo il Magnifico – The Card Game |
Interactive table for predictions from resampling.
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
rahdo | owned | validation | glmnet | roc_auc | 0.865 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 304420 | Bonfire | 0.992 | yes |
2020 | 300327 | The Castles of Tuscany | 0.987 | yes |
2020 | 318983 | Faiyum | 0.963 | yes |
2020 | 300322 | Hallertau | 0.944 | yes |
2020 | 293678 | Stellar | 0.931 | yes |
2020 | 184267 | On Mars | 0.929 | no |
2020 | 312372 | Pandoria Merchants | 0.916 | yes |
2020 | 298065 | Santa Monica | 0.883 | yes |
2020 | 296151 | Viscounts of the West Kingdom | 0.863 | yes |
2020 | 306040 | Merv: The Heart of the Silk Road | 0.856 | yes |
2020 | 269810 | Nevada City | 0.844 | yes |
2020 | 308765 | Praga Caput Regni | 0.833 | yes |
2020 | 233262 | Tidal Blades: Heroes of the Reef | 0.830 | no |
2020 | 316412 | The LOOP | 0.809 | yes |
2020 | 227224 | The Red Cathedral | 0.795 | yes |
2020 | 301716 | Glasgow | 0.787 | yes |
2020 | 311193 | Anno 1800 | 0.781 | yes |
2020 | 293556 | Gloomy Graves | 0.774 | no |
2020 | 265784 | Cleopatra and the Society of Architects: Deluxe Edition | 0.764 | no |
2020 | 301880 | Raiders of Scythia | 0.763 | yes |
2020 | 312318 | Century: Golem Edition – An Endless World | 0.763 | yes |
2020 | 284742 | Honey Buzz | 0.747 | no |
2020 | 282954 | Paris | 0.741 | yes |
2020 | 312804 | Pendulum | 0.739 | yes |
2020 | 316377 | 7 Wonders (Second Edition) | 0.739 | yes |
2020 | 291511 | Medici: The Dice Game | 0.722 | yes |
2020 | 317985 | Beyond the Sun | 0.712 | no |
2020 | 284378 | Kanban EV | 0.671 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.669 | no |
2020 | 300531 | Paleo | 0.663 | yes |
2020 | 310442 | Feierabend | 0.658 | yes |
2020 | 300583 | Village Green | 0.656 | yes |
2020 | 312484 | Lost Ruins of Arnak | 0.655 | yes |
2020 | 303554 | Winter Kingdom | 0.646 | yes |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.645 | yes |
2020 | 320819 | Dinner in Paris | 0.641 | no |
2020 | 295486 | My City | 0.637 | yes |
2020 | 298371 | Wild Space | 0.631 | no |
2020 | 300001 | Renature | 0.629 | yes |
2020 | 271055 | Dwellings of Eldervale | 0.612 | no |
2020 | 281466 | Yedo: Deluxe Master Set | 0.605 | no |
2020 | 291508 | Tiny Epic Dinosaurs | 0.594 | no |
2020 | 267009 | Rome & Roll | 0.593 | no |
2020 | 306735 | Under Falling Skies | 0.586 | no |
2020 | 313698 | Monster Expedition | 0.586 | no |
2020 | 272739 | Clinic: Deluxe Edition | 0.583 | no |
2020 | 284217 | Rush M.D. | 0.573 | yes |
2020 | 293296 | Splendor: Marvel | 0.571 | yes |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.564 | no |
2020 | 302310 | Nanaki | 0.560 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 50 games for upcoming games, highlighting in blue ones the user already.
Published | ID | Name | Pr(Owned) | Owned |
2021 | 343905 | Boonlake | 0.990 | yes |
2022 | 266018 | Trinidad | 0.934 | no |
2021 | 342942 | Ark Nova | 0.919 | yes |
2022 | 305096 | Endless Winter: Paleoamericans | 0.908 | no |
2021 | 341169 | Great Western Trail (Second Edition) | 0.880 | no |
2021 | 332944 | Sobek: 2 Players | 0.868 | no |
2021 | 289550 | Lions of Lydia | 0.852 | yes |
2021 | 300523 | Biblios: Quill and Parchment | 0.851 | no |
2021 | 282776 | Tumble Town | 0.848 | no |
2021 | 304783 | Hadrian's Wall | 0.847 | no |
2021 | 298378 | Maharaja | 0.846 | no |
2021 | 315234 | Embarcadero | 0.835 | no |
2021 | 322195 | Kokopelli | 0.830 | yes |
2021 | 333055 | Subastral | 0.828 | yes |
2022 | 331106 | The Witcher: Old World | 0.800 | no |
2022 | 317511 | Tindaya | 0.797 | no |
2021 | 298069 | Cubitos | 0.792 | yes |
2021 | 331787 | Tiny Epic Dungeons | 0.790 | no |
2021 | 283242 | The Whatnot Cabinet | 0.790 | yes |
2021 | 329593 | Settlement | 0.787 | no |
2021 | 249277 | Brazil: Imperial | 0.780 | no |
2022 | 311988 | Frostpunk: The Board Game | 0.779 | no |
2021 | 320446 | Corduba 27 a.C. | 0.778 | no |
2022 | 291845 | Three Sisters | 0.777 | yes |
2022 | 304051 | Creature Comforts | 0.767 | no |
2021 | 292899 | Tribune | 0.758 | no |
2021 | 344277 | Corrosion | 0.750 | yes |
2021 | 323613 | LUNA Capital | 0.747 | yes |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.745 | no |
2022 | 284189 | Foundations of Rome | 0.742 | no |
2021 | 238799 | Messina 1347 | 0.739 | yes |
2021 | 346965 | Azul: Queen's Garden | 0.721 | yes |
2021 | 317457 | Dinosaur World | 0.718 | no |
2021 | 225274 | Deep Space D-6: Armada | 0.714 | no |
2021 | 314088 | Agropolis | 0.709 | no |
2021 | 299684 | Khôra: Rise of an Empire | 0.705 | yes |
2021 | 330038 | Llamaland | 0.704 | no |
2021 | 298383 | Golem | 0.704 | yes |
2021 | 283387 | Rocketmen | 0.704 | no |
2022 | 319807 | Shogun no Katana | 0.700 | no |
2021 | 318184 | Imperium: Classics | 0.693 | no |
2021 | 318182 | Imperium: Legends | 0.693 | yes |
2021 | 333553 | For the King (and Me) | 0.690 | no |
2021 | 339906 | The Hunger | 0.686 | yes |
2021 | 260524 | Beyond Humanity: Colonies | 0.684 | no |
2021 | 340364 | Machi Koro 2 | 0.678 | no |
2022 | 314745 | Now or Never | 0.674 | no |
2022 | 256997 | Perseverance: Castaway Chronicles – Episodes 1 & 2 | 0.672 | no |
2021 | 277700 | Merchants Cove | 0.668 | no |
2021 | 339789 | Welcome to the Moon | 0.662 | no |